175 results about "Information needs" patented technology

The invention discloses a multi-agent dynamic arrangement method based on multi-modal analysis and adaptive retrieval, and relates to the technical field of artificial intelligence and information retrieval. Comprising the steps of S1, converting a text, an image, structured data and voice content input by a user into a unified multi-mode semantic representation, S2, converting the unified multi-mode semantic representation into a specific execution process, and S3, automatically scheduling a reasoning agent, a knowledge obtaining agent and an execution agent according to DAG nodes, task elements and available resources, and obtaining the task elements and the execution agent according to the reasoning agent, the knowledge obtaining agent and the execution agent. S4, after task process construction and agent arrangement are completed, dynamic retrieval, evidence convergence and strategy optimization are carried out on information requirements related to a user task, so that a reasoning agent obtains complete knowledge support with consistent context, and S5, knowledge evidence is combined with a task process, so that the task process is completed. The method comprises the following steps: step S6, implementing problem solving, strategy generation and task closed-loop execution through a reasoning agent, step S6, performing actual operation on a target task by an execution agent according to an executable instruction sequence output by the reasoning agent, and outputting a result, and step S7, performing result verification according to an output result returned by the execution agent, and the correctness, integrity and consistency of an output result are examined through rule verification, model evaluation and evidence alignment.

The present disclosure generally relates to generating and / or modifying text using a digital assistant. This disclosure encompasses a system for requesting information before generating text using models based on the type of information needed. This disclosure further encompasses a system for a remote model requesting additional information before generating text. This disclosure encompasses user interfaces for text generation / modification. This disclosure encompasses a system for proofreading text using a model. This disclosure encompasses a system for generating a response to a received communication with operations for updating the generated response.

The invention provides a scientific and technical literature question and answer method and system based on self-feedback iterative optimization, and the method comprises the steps: receiving a user question, and generating an initial response through employing a retrieval enhancement generation strategy; taking the initial response as iterative input, and performing multi-dimensional evaluation on the iterative input to obtain structured feedback with a plurality of specific feedbacks; extracting an information demand from the structured feedback, and performing supplementary retrieval according to the information demand to obtain supplementary information; performing progressive information fusion on the supplementary information and the iterative input according to the priority ranking of the specific feedback to obtain an optimized content; verifying and correcting references in the optimized contents to obtain iterative output; and judging whether an iteration termination condition is met or not according to the iteration output, if so, taking the iteration output as a final response, and otherwise, taking the iteration output input as the iteration input to carry out iteration optimization until the final response is obtained. According to the invention, the answering quality of academic answers can be greatly improved.

A system and method for an AI-based Automated Software Application Development Platform which intelligently gathers requirements from a business analyst and generates a runnable software application from those requirements. The AI-based platform enables the business analyst with no technical knowledge to visually model their requirements rapidly without requiring any programming Using the abstract requirements architecture and the platform, the analyst creates requirements models for the application's business processes and business tasks for each of the processes, including defining the supporting information needs. The system intelligently assists the user in defining the information needs for each of the business processes and their tasks. Once the requirements models are created by the analyst with the help of the platform, the platform automatically designs and creates an appropriate persistent canonical data model for the application from the defined information needs. The platform then creates a runnable software application. The system also provides a template for the user to input their requirements in descriptive text, and accepts requirements document for applications as written free form text or text documents written in English as input, and in a non-English language that the system automatically translates them into English. The system provides a method for reverse engineering an existing application, including generating a requirements document for the existing application such as a legacy modernization or digital transformation an old applications for redesigning, updating or revising them to accommodate a new requirements set for such applications.

The embodiment of the invention provides a memory information processing method of a large language model and a computer program product, and relates to the technical field of large language models. The method comprises the steps of obtaining interaction request information of a target object, extracting at least one piece of memory information needing to be memorized from the interaction request information based on a large language model, performing classification and importance evaluation on each piece of memory information to obtain category information and an importance score of each piece of memory information, and according to each piece of category information, determining the importance score of each piece of memory information. And determining the expiration duration of each piece of memory information, and storing each piece of memory information, the corresponding category information, the corresponding expiration duration and the corresponding importance score into an active memory pool of the target object. Context management can be carried out by using the memory information, and the context management accuracy of a large language model in a cross-session scene is remarkably improved.

The present disclosure generally relates to generating and / or modifying text using a digital assistant. This disclosure encompasses a system for requesting information before generating text using models based on the type of information needed. This disclosure further encompasses a system for a remote model requesting additional information before generating text. This disclosure encompasses user interfaces for text generation / modification. This disclosure encompasses a system for proofreading text using a model. This disclosure encompasses a system for generating a response to a received communication with operations for updating the generated response.

The invention discloses a multi-Agent cooperation AADL model AGREE verification statement automatic generation and verification method. The method comprises the following steps: S1, constructing a domain knowledge base; s2, the Agent is analyzed by the AADL model to extract key information; s3, the demand analysis Agent splits atomic propositions from the natural language demand; s4, the AGREE generator Agent generates an AGREE attachment code; s5, the model fusion Agent automatically embeds the AGREE specification into the target AADL component; s6, the AADL verification Agent performs iterative verification and automatic repair, and a multi-dimensional verification system is constructed; and S7, executing AGREE-based AADL architecture formalized verification, and performing logic attribute verification on the grammar compliance model. According to the invention, innovative fusion of a formalized verification method and an intelligent technology is realized, and the core problem that formalized verification of the AADL architecture is difficult to implement is effectively solved.

The invention discloses an intelligent short message anti-interception method and device based on AI deep learning, and a storage medium, and the method comprises the steps: setting a short message sending demand obtaining module which is used for obtaining the short message content which needs to be sent by each client; an information classification module is arranged to detect and automatically classify short message content information needing to be sent; an intelligent short message reconstruction module is arranged, and an intelligent short message and a short message sending scheme are regenerated by using short message content information provided by a client; a short message interception simulation module is arranged and used for simulating short message interception and evaluating a short message sending success rate and a click rate; when the sending success rate is lower than a threshold value, the short message interception simulation module feeds back a reason possibly causing interception to the intelligent short message generation module, and the intelligent short message generation module improves short message content in a targeted manner and regenerates an intelligent short message and a short message sending scheme until the sending success rate is evaluated to be higher than the threshold value; a user confirmation module is arranged, and when the sending success rate is higher than a threshold value, the intelligent short message and a sending scheme thereof can be fed back to a client.

The invention provides an information deep mining method and system based on a multi-agent cooperation framework, and the method comprises the steps: firstly receiving a to-be-mined information demand, carrying out the task decomposition and cooperative scheduling through a plan expert agent, generating a cooperative task scheduling scheme, and then carrying out the multi-source information cooperative search through a search expert agent according to the scheme, the method comprises the following steps: acquiring multi-source original information, reading an expert agent to carry out deep analysis and association extraction on the multi-source original information, generating structured association information, analyzing the expert agent to carry out multi-level deep reasoning on the structured association information to obtain a deep mining intermediate result, and finally, integrating multi-dimensional verification and fusion on the intermediate result by the expert agent to obtain a deep mining result. And generating a final information deep mining result meeting the requirement, thereby realizing automation, intelligence and high efficiency of information mining, and mining the potential value of the information.

The invention discloses a commercial information desensitization method and system based on spreadsheet files. The system is implemented by a spreadsheet file containing a runnable macro code (VBA). A user inputs business information needing to be desensitized into a pre-named worksheet of a spreadsheet file with a preset system code, and the system identifies and classifies sensitive information in the worksheet and provides a classification result composition for the user to review and edit. And the user completes the editing and reviewing result, namely, the content comparison table before and after desensitization is reserved for future reference. The table is also used for desensitization reference of the whole content of the file. A user operates the system through a button / icon of a VBA form control or a button / icon of a VBA ActiveX control and the content input into a pre-named worksheet (WorkSheets) in a spreadsheet file, and the system is operated by the user through the button / icon of the VBA form control or the button / icon of the VBA ActiveX control and the content input into the pre-named worksheet in the spreadsheet file. According to the invention, low-cost and high-security business information desensitization is realized, and the risk of information leakage in a network transmission process is avoided.

The application relates to the technical fields of artificial intelligence and man-machine natural language dialogue, and provides a general memory management method and system based on a language model, which extracts memory information needing to be memorized from dialogue content with the language model, generates temporary memory, integrates the temporary memory to obtain persistent memory about a dialogue user, and is integrated into a dialogue process of the dialogue user and the language model to form memory of the dialogue user, so that the dialogue of the dialogue system is controlled, memory type classification management is performed according to the importance of the memory information in the persistent memory, so that the persistent memory contains short-term memory and long-term memory, the importance of the memory information in the persistent memory is updated and managed, and the short-term memory and the long-term memory are forgotten and upgraded, so that flexible and efficient storage and calling of user memory independent of the model type are realized, and the humanized, continuous and personalized dialogue experience in the man-machine dialogue process is improved.

The invention belongs to the technical field of code generation, particularly provides a large model tool calling method and system based on demand awareness, and aims to solve the technical problems that an existing code generation system lacks an active tool calling capability and cannot automatically select a proper tool according to information loss. According to the method, an information demand identification model, a tool mapping knowledge graph and a self-adaptive scheduling strategy are constructed, so that a large language model can actively identify an information gap in the code analysis and generation process, and an external tool is automatically selected and called to obtain required context information. The core of the system comprises four modules, namely a demand awareness engine, a tool selection decision maker, a multi-modal information fusion device and an iterative optimization feedback mechanism. By introducing an information missing detection algorithm based on an attention mechanism and a hierarchical tool calling planning strategy, the system can realize intelligent processing from a single file to a warehouse-level code task, and the accuracy and availability of code generation are remarkably improved.

A system and method for building queries using generative artificial intelligence (AI) is described. In an example implementation, the system may include an observability platform configured to receive a user request to use generative artificial intelligence in association with a query on an observability platform. A blob of text may be generated based on the request and include information needed to execute a valid query on the observability platform. A server may be configured to include a generative AI engine and a web service to respond to the blob of text. The observability platform may determine whether the response from the generative AI engine is a valid query, meeting a threshold quality level. User feedback may be requested from the user to determine whether the query results answered the user input for query assistance.

The embodiment of the invention provides an automatic order sending method of a platform and related equipment, and belongs to the technical field of computers. The method comprises the following steps: acquiring work order information needing to be dispatched; inputting the work order information into a large language model based on cue word engineering to obtain a first-level prediction result; if the first-level prediction result contains a preset value, starting an auxiliary model, and inputting the work order information and the first-level prediction result into the auxiliary model to obtain a second-level prediction result; and fusing the first-level prediction result and the second-level prediction result to obtain an order sending result. According to the invention, order sending prediction is carried out through the large language model and the auxiliary model, so that the accuracy of order sending prediction is improved.

The invention relates to an information service consultation system and method for a hospital, and the system comprises a dynamic knowledge base module which integrates and updates an internal heterogeneous database, an external authority knowledge base and a multimedia database of the hospital, and builds a medical knowledge graph through a medical exclusive entity recognition model and an image semantic analysis technology; the intelligent question and answer module identifies a user query intention through a medical field intention classification model, and generates a target answer, a traceability identifier and a risk grading response through a medical corpus fine-tuning large language model; the man-machine collaborative closed-loop management module is used for receiving user feedback and manual audit information, identifying knowledge gaps and to-be-optimized problems and driving optimization of a medical knowledge graph; and the security and authority control module is used for carrying out user identity authentication, controlling access authority and encrypting global data based on an encryption algorithm. Therefore, the problems that a hospital question-answering system lacks the capability of processing multi-modal information and cannot meet the information requirements of high accuracy and high timeliness of hospitals are solved.

This application provides a method and computing device for recommending device components, relating to the field of computing device technology. This method can improve the accuracy and efficiency of device component recommendation. The method includes: acquiring input demand information; describing the features of the component to be recommended in natural language using the demand information; inputting the demand information into a parsing model to obtain the output parsing result; the parsing model is a locally deployed lightweight model obtained by model distillation of a large language model; describing the features of the component to be recommended in a structured format using the parsing result; outputting a recommendation result based on the parsing result; the recommendation result is used to indicate the recommended device component.

The invention discloses an active intelligent dialogue pushing method and system based on user state perception, and belongs to the technical field of computers. The method comprises the steps of obtaining a trigger event; extracting multi-dimensional state information of the user according to the trigger event and the historical interaction data to obtain a structured snapshot; generating an action sequence according to the plurality of structured snapshots; searching according to the action sequence to obtain candidate contents; and screening high-score contents from the candidate contents for pushing. According to the user behavior analysis and active dialogue decision-making mechanism based on the time sequence state snapshots, the state timeline is formed by continuously generating the user state snapshots containing multi-dimensional information (demands, emotions and trends), the active dialogue opportunities are intelligently recognized based on the change mode of the state sequence, the information is planned, and the action sequence is obtained. And high-quality personalized dialogue content is generated.

The present application belongs to the field of substation communication configuration, and particularly relates to a kind of SCL file comparison method and system.The present application establishes the node model corresponding to each node in SCL file, avoids traversing when comparing, saves traversal time, and when establishing node model, only the attribute information and the subnode information needed for node comparison are modeled, so the comparison of these nodes and attributes can be saved;when comparing nodes or their subnodes, the node content is first texturized, only the text content is compared to see if it is the same, and the text comparison method is optimized, which can quickly determine whether the node content is different, and if not, the comparison of the specific content of the node can be directly saved;and when comparing multiple node subnodes, the unique key attribute is matched, and the key attributes of each subnode in the two files are stored as a linked list and a hash table respectively, ensuring the order and retrieval speed of the results of multiple node subnodes.

The embodiment of the invention provides an abnormal webpage recognition method and device, electronic equipment, a storage medium and a computer program product. The method comprises the steps that a first agent, a second agent and a third agent are constructed in a multi-mode large language model; inputting webpage information of a webpage to be recognized into the multi-modal large language model; information screening is conducted on the webpage information through the first intelligent agent, and screening information needing abnormal webpage recognition is obtained; performing information collection on the to-be-identified webpage based on the webpage information and the screening information through a second intelligent agent to obtain collected information; and performing abnormal webpage identification on the to-be-identified webpage based on the webpage information and the collection information through a third agent, and outputting an abnormal webpage identification result through a multi-modal large language model. According to the method, the webpage information is screened, collected and recognized through the intelligent agent in the multi-modal large language model, so that the recognition accuracy of the abnormal webpage is improved.

The invention relates to the technical field of computers, and discloses a game content sharing method and device, equipment, a medium and a product, and the game content sharing method comprises the following steps: firstly, aiming at a selected area on a game interface, the area comprises a main sharing object and first target information needing to be processed; then, shielding operation is carried out on the first target information, and the first target information is converted into visually processed second target information; meanwhile, extracting interaction data associated with the main sharing object, and packaging the interaction data into a data packet containing an interaction instruction according to a preset protocol; and finally, combining the data packet with the second target information to generate a composite game content, and sending the composite game content to the target equipment. According to the technical scheme, the technical problems that in the prior art, when game content is shared, part of information needs to be manually processed, and interaction data cannot be attached can be solved.

The invention provides a content generation method, a related device and a computer program product. The method comprises the following steps: acquiring demand description information of target generated content; performing demand decomposition on the demand description information through a demand processing model to obtain material demand information, training an initial demand processing model according to the difference between the training material and the sample material to obtain the demand processing model, and performing demand decomposition on the sample demand description information by the training material according to the initial demand processing model to obtain the material demand information; after the training material demand information is obtained, the sample material is extracted from a material library based on the training material demand information, and the sample material is used for meeting the material demand of the sample demand description information and is extracted from the material library; extracting a target material corresponding to the material demand information from a material library; and generating target generation content based on the target material. Therefore, the demand processing model with stronger perception ability and stronger material selection ability for the material library can be utilized to more accurately generate the material demand information for obtaining the materials required by the processing demand of the user according to the content in the material library, so that the model illusion is reduced, and the user experience is improved. Therefore, the task of demand processing and content generation can be better completed.

This invention relates to a multimodal large-scale model reliable reasoning method and system for medical image-assisted diagnosis, comprising: designing a multimodal thought chain data generation mechanism; using plain text thought chain data and generated multimodal thought chain data to supervise and fine-tune the large model to achieve a cold start effect; further stimulating the reasoning ability of the large model through reinforcement learning, wherein the reward function of reinforcement learning includes multi-dimensional considerations; the calculated reward function values ​​of each dimension are connected to a dynamic reward scheduling mechanism, which adaptively adjusts the weight coefficients between the reward functions to achieve a balanced optimization of the objective function with multiple reward objectives, and outputs a reliable reasoning medical diagnosis result. This invention eliminates redundant information in the answer while accurately retaining the key information needed to solve the problem, thereby ensuring the accuracy and reliability of the answer. Compared with the prior art, this invention has the advantages of high accuracy, strong robustness, excellent reliability, and high reasoning efficiency.

The application relates to the technical field of data processing, and specifically discloses an autonomous API data interaction trust establishment and verification method, which comprises the following operation steps: S001, converting imported interface information text into a json file; S002, reading and analyzing core information in the exported json file to obtain test case information; S003, judging whether the obtained test case information needs to be designed into a new case, and after the judgment program is determined, each field of the test case information is substituted into a parameter generation rule of a scheme design, so that corresponding correct or incorrect parameter values can be generated. The autonomous API data interaction trust establishment and verification method provided by the application greatly facilitates the implantation of code fields of a newly-added API interface channel and running test of the code fields and the original API interface channel, shortens manual intervention of a test environment, and improves work efficiency.

The embodiment of the invention provides a contract period processing method and device, equipment, a storage medium and a program product. Belongs to the technical field of data processing. Comprising the steps of obtaining a contract modification moment, a historical processing period of a target contract and a new processing period of the target contract; determining an expired historical period and an expired new period according to the contract modification moment, the historical processing period and the new processing period; determining an expired historical processing amount and an expired new processing amount; determining the end time of the expired new period as the end time of the compensation interval; determining the end time of the expired historical cycle as the starting time of the compensation interval; determining a compensation amount according to the expired historical processing amount and the expired new processing amount; determining that a new period is not reached according to the contract modification moment; and outputting the expired historical cycle, the compensation interval, the compensation amount and the unreached new cycle. The problems that related information needs additional manual analysis after the service cycle is modified, and the time cost is high are solved.

The embodiment of the invention discloses an interaction method and a related device, when a session object performs a session with other session objects through a session interface, if a first game program is wanted to be used, the session interface does not need to be quitted, only specified information needs to be sent in the session, and the first game program can be used. In this way, the first starting control can be triggered to be synchronously displayed in the session interfaces corresponding to the multiple session objects, each session object can trigger and display the game interface corresponding to the first game program through the triggering operation for the first starting control, and the first game program can be used through the game interface. On one hand, the first game program can be started without exiting the session object from the session interface, and the convenience of game program starting interaction is improved, and on the other hand, synchronous display of the first starting control can be triggered when any session object inputs the target information, so that each session object can start the first game program, and the user experience is improved. And propagation and popularization of the first game program are facilitated.

This disclosure relates to a risk determination method, apparatus, electronic device, and medium. The risk determination method includes: acquiring application information from an application; determining risk information of the electronic device based on the application information; and sending the risk information to the application. Since the application does not need to determine the risk information and there is no need to share information, more information from the electronic device can be combined when determining the risk information, thereby improving the accuracy of the risk information. Simultaneously, since only the risk information needs to be sent to the application, and there is no need to send information from the electronic device to the application to avoid privacy information leakage, the security of risk determination is improved.

The application discloses a log recording method, device and equipment and a readable storage medium in the computer technical field. The application can determine each to-be-tested item existing in a URL in reverse order from the tail of the URL, then match the current URL according to the determined order (namely, the reverse order) of the to-be-tested items, and if the current URL matches a preset rule, it indicates that the key information needing to be recorded to the log is matched, so the matching content is recorded to the log, thereby the key information to be recorded can be accurately determined. The scheme does not need to analyze the whole URL in full amount, but quickly determines the key information needing to be recorded to the log from the tail of the URL, thereby improving the log recording efficiency, reducing the probability of recording redundant information to the log, and improving the log precision. Correspondingly, the log recording device, equipment and readable storage medium provided by the application also have the above technical effects.

This invention provides a job posting optimization system, job posting optimization server, program, and job posting optimization method that can efficiently create job postings that can improve the hiring success rate. [Solution] The system includes an information acquisition unit 131 that acquires job posting source information from job seekers, a requirements extraction unit 132 that extracts job requirements based on the job posting source information, a requirements optimization unit 133 that analyzes the extracted job requirements and generates optimized recommended job requirements, and a job posting editing unit 134 that presents the job requirements and the recommended job requirements to the job seeker and accepts editing of the job requirements.

The invention provides a workstation generation method, a workstation generation system, a storage medium and electronic equipment, and the method comprises the steps: receiving demand information, and when the demand information is a three-dimensional model, processing the three-dimensional model to obtain target product information, the demand information comprising the category and parameter information of a target product; under the condition that the demand information is text information, processing the text information to obtain target product information; and workstation information for processing the target product is determined based on the product knowledge graph, the equipment knowledge graph and the target product information, the workstation information comprises multiple pieces of equipment information for processing the target product, the product knowledge graph comprises multiple products, and the equipment knowledge graph comprises multiple pieces of candidate equipment. The method solves the problem that in the prior art, equipment selection efficiency is low due to the fact that equipment selection of a workstation needs to be manually matched one by one according to parameters of a target product.

The invention provides a picture generation method and device, electronic equipment and a storage medium, relates to the field of artificial intelligence such as computer vision, image processing, deep learning and large models, and can be applied to scenes such as information delivery. The picture generation method comprises the steps of obtaining generation demand description information corresponding to a to-be-generated target result picture, and generating overall layout planning information of the target result picture according to the generation demand description information; generating an initial result picture according to the overall layout planning information; and obtaining target content information needing to be added into the target result picture, and generating the target result picture according to the initial result picture and the target content information.